This paper is in the following e-collection/theme issue:

Viewpoints and Perspectives (484) Theoretical Frameworks and Concepts (230) Obstetrics, Gynecology, and Reproductive Medicine (194) Participatory Design and Participatory Research (301) Equity and Digital Divide (171) Demographics of Users, Social & Digital Divide (677) Consumer & Patient Education and Shared-Decision Making (636) Participatory Medicine & E-Patients (758) Web-based and Mobile Health Interventions (3092) Mobile Health (mhealth) (2748)
Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36338, first published .
A Framework for Femtech: Guiding Principles for Developing Digital Reproductive Health Tools in the United States

A Framework for Femtech: Guiding Principles for Developing Digital Reproductive Health Tools in the United States

A Framework for Femtech: Guiding Principles for Developing Digital Reproductive Health Tools in the United States

Authors of this article:

Tamar Krishnamurti1, 2 Author Orcid Image ;   Mehret Birru Talabi2, 3 Author Orcid Image ;   Lisa S Callegari2, 4, 5 Author Orcid Image ;   Traci M Kazmerski2, 6 Author Orcid Image ;   Sonya Borrero1, 2, 7 Author Orcid Image
Article Authors Cited by (15) Tweetations (18) Metrics

Journals

  1. Birru Talabi M, Callegari L, Kazmerski T, Krishnamurti T, Mosley E, Borrero S. A blueprint for a new model of sexual and reproductive health care in subspecialty medicine. Health Services Research 2023;58(1):216 View
  2. Harada A, Tateishi S, Ishimaru T, Nagata M, Eguchi H, Tsuji M, Ikegami K, Matsugaki R, Fujino Y. Association Between Types of Chronic Disease and Receiving Workplace Accommodations. Journal of Occupational & Environmental Medicine 2023;65(2):93 View
  3. O’Connell M, Gluskin B, Parker S, Burke P, Pluhar E, Guss C, Shrier L. Adapting a Counseling-Plus-mHealth Intervention for the Virtual Environment to Reduce Sexual and Reproductive Health Risk Among Young Women with Depression. Prevention Science 2023;24(S2):196 View
  4. Mosley E, Zite N, Dehlendorf C, Deal A, O'Leary R, Achilles S, Barnato A, Hall D, Borrero S. Development of My Decision/Mi Decisión, a web-based decision aid to support permanent contraception decision making. PEC Innovation 2023;3:100203 View
  5. Liang J, Ali F, Ramaiyer M, Borahay M. Determinants and Assessment of Menstrual Blood Flow. Current Epidemiology Reports 2023;10(4):210 View
  6. Figueroa C, Sundqvist J, Mathieu S, Farrokhnia N, Nevin D, Andersson S. The opportunities and challenges of women's digital health: A research agenda. Health Policy and Technology 2023;12(4):100814 View
  7. Jantraporn R, Kian A, Collins M, Baden M, Mendez E, Wehlage J, Wolf E, Austin R. Evaluation of Mobile Health Cycle Tracking Applications Privacy, Security, and Data Sharing Practices. CIN: Computers, Informatics, Nursing 2023;41(9):629 View
  8. Hod M, Divakar H, Kihara A, Geary M. The femtech revolution—A new approach to pregnancy management: Digital transformation of maternity care—The hybrid e‐health perinatal clinic addressing the unmet needs of low‐ and middle‐income countries. International Journal of Gynecology & Obstetrics 2023;163(1):4 View
  9. Jain V, Munro M, Critchley H. Contemporary evaluation of women and girls with abnormal uterine bleeding: FIGO Systems 1 and 2. International Journal of Gynecology & Obstetrics 2023;162(S2):29 View
  10. Azizi Z, Adedinsewo D, Rodriguez F, Lewey J, Merchant R, Brewer L. Leveraging Digital Health to Improve the Cardiovascular Health of Women. Current Cardiovascular Risk Reports 2023;17(11):205 View
  11. Nissen M, Barrios Campo N, Flaucher M, Jaeger K, Titzmann A, Blunck D, Fasching P, Engelhardt V, Eskofier B, Leutheuser H. Prevalence and course of pregnancy symptoms using self-reported pregnancy app symptom tracker data. npj Digital Medicine 2023;6(1) View
  12. Haseli G, Yaran Ögel İ, Ecer F, Hajiaghaei-Keshteli M. Luxury in female technology (FemTech): Selection of smart jewelry for women through BCM-MARCOS group decision-making framework with fuzzy ZE-numbers. Technological Forecasting and Social Change 2023;196:122870 View
  13. Kazmerski T, Stransky O, Wright C, Albanowski M, Pilewski J, Talabi M, Callegari L, Chang J, Abebe K, Miller E, Deal A, O'Leary R, Borrero S. Feasibility Testing of a Web-Based Reproductive Decision Support Tool for Cystic Fibrosis. Journal of Cystic Fibrosis 2024;23(3):404 View
  14. Krishnamurti T, Rodriguez S, Wilder B, Gopalan P, Simhan H. Predicting first time depression onset in pregnancy: applying machine learning methods to patient-reported data. Archives of Women's Mental Health 2024 View

Books/Policy Documents

  1. Canali S, Hesselbein C. FemTech. View